graph databases , Kafka, Data Governance, Metadata Management, Coding Skills, Spark, Execution traceability, Semantic retrieval, Git workflows, Enterprise data architecture, Streaming architecture, Vector databases, Contextual intelligence, AI-assisted metadata enrichment, Cloud-native data engineering, Modern DevOps, Lineage architecture, Domain-driven architecture, Ephemeral persistent storage architectures, Ontology semantic modeling, MDM entity resolution

Java, Scala, Shell Scripting, Sql, Jenkins, Ansible, DataFlow, Python, Google BigQuery, Tableau APIs, Cloud Composer, Google Cloud Storage, Google Pub Sub

Spark, Kafka, Kubernetes, Druid, Pinot, Yugabyte, Starrocks, Flink, temporal

snowflake , AWS, Pyspark, Plsql, Python, Lambda, Mulesoft, Step Functions, Glue, Salesforce

Github, JIRA, C Programming, Sql, Cloud Computing, Numpy, Pandas, Matplotlib, Autosys, Databricks, Azure, Python, AWS, Postgres DB, SAlib, Scikit-learn, AIRFLOW

Github, JIRA, C Programming, Sql, Cloud Computing, Numpy, Pandas, Matplotlib, Autosys, Databricks, Azure, AWS, Postgres DB, SAlib, Scikit-learn, Python Programming Language, AIRFLOW

Github, C Programming, JIRA, Sql, Cloud Computing, Numpy, Pandas, Matplotlib, Databricks, Autosys, Azure, Python, AWS, Postgres DB, SAlib, Scikit-learn, AIRFLOW

Java, Hadoop, Pyspark, Scala, Etl Development, Data Warehousing, Data Modeling, Sql, Google Cloud, Big Data Technologies, Hive, Docker, Spark, Azure, Kubernetes, Python, AWS, Airflow, Prefect